Tae Oh

35 papers receiving 347 citations

Peers

Tae Oh
Comparison fields: 5 of 52
  • Signal Processing 119
  • Computer Networks and Communications 170
  • Human-Computer Interaction 25
  • Information Systems 92
  • Automotive Engineering 41
Replace Mohammed Bouhorma with:
Mohammed Bouhorma Morocco
Gabriel Chukwunonso Amaizu South Korea
Varun Kohli India
Niels Alexander Nijdam Switzerland
Pongpisit Wuttidittachotti Thailand
Mohd Fikri Azli Abdullah Malaysia
Shridatt Sugrim United States
Stefano Alletto Italy
Na Ruan China
Anindya Maiti United States
Tae Oh relative to Mohammed Bouhorma Morocco Mohammed Bouhorma's profile →
Citations per field
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Mohammed Bouhorma · 1×
Citations per year

Countries citing papers authored by Tae Oh

Since Specialization
Citations

This map shows the geographic impact of Tae Oh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tae Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Oh more than expected).

Fields of papers citing papers by Tae Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Oh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tae Oh. The network helps show where Tae Oh may publish in the future.

Co-authors

The 19 scholars most cited alongside Tae Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tae Oh Line = papers co-authored together Tae Oh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201754
2 202150
3 201546
4 201832
5 201831
6 201522
7 202321
8 202016
9 201511
10 20179
11 20209
12 20166
13 20166
14 20246
15 20215
16 20155
17 20204
18 20243
19 20223
20 20203

About Tae Oh

Tae Oh is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Cognitive Neuroscience, Information Systems and Signal Processing, having authored 36 papers that have together received 365 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (11 papers), Vehicular Ad Hoc Networks (VANETs) (10 papers), Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (8 papers), IoT and Edge/Fog Computing (7 papers), Autonomous Vehicle Technology and Safety (5 papers), Gaze Tracking and Assistive Technology (5 papers) and Mobile Ad Hoc Networks (4 papers). The work is most often cited by research in Signal Processing (119 citations), Computer Networks and Communications (170 citations), Human-Computer Interaction (25 citations), Information Systems (92 citations) and Automotive Engineering (41 citations). Tae Oh has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Jaehoon Jeong, Young Ho Kim, David Hung-Chang Du, Eunseok Lee, Young-Ho Kim, Jeong‐Nyeo Kim, Roshan Lalintha Peiris, Garreth W. Tigwell, Jonathan Myers and Sang H. Son. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology, Vehicular Communications, Proceedings of the ACM on Human-Computer Interaction and International Journal of Distributed Sensor Networks.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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